Computational Analysis of Big DataSemester Course

Computational Analysis of Big Data, elective course at DIS Copenhagen
Major Discipline(s)
Computer Science, Information Science, Mathematics
Type
Elective Course
Available
Fall/Spring semester
Credit(s)
3

Walmart started using big data even before the term became recognized. Today, industries, governments, social media platforms, finance, and organizations alike use data and analytics to predict future needs to optimize sales, minimize cost, and maximize reach. With a hands-on approach and by working with problem solving exercises that focus on practical implementations, this course introduces you to a large set of computational tools and techniques for dealing with large-scale data.

Related Discipline(s)

This course would also be of interest to the following discipline(s):
Information Science

Faculty

Lucian Leahu

DIS Copenhagen Semester Faculty

PhD in Computer Science from Cornell University 2012. Assistant professor at ITU Copenhagen since 2015. ERCIM Postdoctoral Fellow at the Swedish Institute of Computer Science (2012-2013) and Project Leader in the Media Technology and Interaction Design Department at the Royal Institute of Technology (2014). With DIS since 2019

Ulf Aslak Jensen

DIS Copenhagen Semester Faculty

PhD researcher at the Copenhagen Centre for Social Data Science, University of Copenhagen. Visiting researcher at the Technical University of Denmark (DTU), MScEng in Digital Media Engineering from DTU. Former research assistant at the Uri Alon lab at the Weizmann Institute of Science. Former Data Scientist at Trustpilot, and seasoned teaching assistant in academia. His current research focuses on pattern detection and behavior prediction in multimodal social network data.